Rana A Convergence of Deep Learning and Artificial Intelligence in IoT 2023 | 26.86 MB
English | 329 Pages

Title: Convergence of Deep Learning and Artificial Intelligence in Internet of Things; 1
Author: Kumar Rana Arun
Year: 2022

Artificial Intelligence in Digital Holographic Imaging
by Moon, Inkyu;
English | 2022 | ISBN: 0470647507 | 313 pages | True EPUB | 25.25 MB

Artificial Intelligence For Beginners: Makes a Person Become an Adaptive Thinker and Allows Them to Apply Concepts to Real-life Scenarios (Best Guide to Changing Your Career) by Rohit Sharma
English | April 28, 2022 | ISBN: N/A | ASIN: B09Z6SHHHL | 137 pages | EPUB | 0.20 Mb
Artificial Intelligence For Beginners:Makes a Person Become an Adaptive Thinker and Allows Them to Apply Concepts to Real-life Scenarios

Ouyang F Artificial Intelligence in STEM Education 2022 | 43.77 MB
N/A | 396 Pages

Title: Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology
Author: Edited by Fan Ouyang
Year: N/A

Kejriwal M Artificial Intelligence for Industries of the Future 2023 | 2.09 MB
English | 165 Pages

Title: The Industries of the Future
Author: Alec Ross
Year: 2016

Moon I Artificial Intelligence in Digital Holographic Imaging 2023 | 43.43 MB
N/A | 339 Pages

Title: Artificial Intelligence in Digital Holographic Imaging
Author: Moon, Inkyu;
Year: 2020

Meyes R Transparency and Interpretability Artificial Neural Networks 2022 | 5.31 MB
N/A | 230 Pages

Title: GopherHawk® Gopher Trapping Set, Includes Wedge & Probe Tool, 1 GH-Set
Author: N/A
Year: N/A

Wang Y Artificial Intelligence and Causal Inference 2022 | 22.31 MB
English | 395 Pages

Title: Artificial Intelligence and Causal Inference
Author: Momiao Xiong
Year: 2009

Transparency and Interpretability for Learned Representations of Artificial Neural Networks
English | 2022 | ISBN: 365840003X | 333 Pages | PDF EPUB (True) | 43 MB
Artificial intelligence (AI) is a concept, whose meaning and perception has changed considerably over the last decades. Starting off with individual and purely theoretical research efforts in the 1950s, AI has grown into a fully developed research field of modern times and may arguably emerge as one of the most important technological advancements of mankind. Despite these rapid technological advancements, some key questions revolving around the matter of transparency, interpretability and explainability of an AI's decision-making remain unanswered. Thus, a young research field coined with the general term Explainable AI (XAI) has emerged from increasingly strict requirements for AI to be used in safety critical or ethically sensitive domains. An important research branch of XAI is to develop methods that help to facilitate a deeper understanding for the learned knowledge of artificial neural systems. In this book, a series of scientific studies are presented that shed light on how to adopt an empirical neuroscience inspired approach to investigate a neural network's learned representation in the same spirit as neuroscientific studies of the brain.

Explainable Artificial Intelligence in Medical
by Decision Support Systems
English | 2023 | ISBN: 1839536209 | 545 pages | True PDF | 27.32 MB